DronaBlog

Tuesday, July 7, 2020

How to setup Task Reminder with Popup using Java in Windows System

In this article, we will see how to set up a Task reminder with Popup message in the Windows system. We need to have some basic understanding of Java and Windows shell scripting.





Step 1: Setup up Java project

Use any IDE e.g. Eclipse to create a Java project. We need below external jar files. Download the jar files below and set up in the classpath:



Step 2: Write Java class

Use below code snippet to read an excel file and show popup message using Jpanel class.


import java.awt.Graphics;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.text.DateFormat;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Date;

import javax.swing.JFrame;
import javax.swing.JPanel;

import org.apache.poi.ss.usermodel.Cell;
import org.apache.poi.ss.usermodel.Row;
import org.apache.poi.ss.usermodel.Sheet;
import org.apache.poi.ss.usermodel.Workbook;
import org.apache.poi.xssf.usermodel.XSSFWorkbook;

public class ReadFile extends JPanel {
public void paint(Graphics g){
ReadFile rc = new ReadFile(); // object of the class
// reading the value of 2nd row and 2nd column
ArrayList<String> vOutput = rc.ReadCellData(2, 5);
int k = 10;
if (vOutput != null) {
if (vOutput.size() <=0) {
g.drawString("No reminder today! Enjoy!!!", 10, k);
} else {
for (int i = 0; i < vOutput.size() ; i++) {
g.drawString(vOutput.get(i), 10, k);
k = k + 20;
}
}
}
}

public static void main(String[] args) {
JFrame frame= new JFrame("Customer Reminder!");
frame.getContentPane().add(new ReadFile());
frame.setSize(300, 300);
frame.setVisible(true);
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
frame.setResizable(false);
}

// method defined for reading a cell
public ArrayList<String> ReadCellData(int vRow, int vColumn) {
ArrayList<String> al = new ArrayList<>();
Workbook wb = null; // initialize Workbook null
try {
// reading data from a file in the form of bytes
FileInputStream fis = new FileInputStream("D:\\sample.xlsx");
// constructs an XSSFWorkbook object, by buffering the whole stream into the
// memory
wb = new XSSFWorkbook(fis);
} catch (FileNotFoundException e) {
e.printStackTrace();
} catch (IOException e1) {
e1.printStackTrace();
}
Sheet sheet = wb.getSheetAt(0); // getting the XSSFSheet object at given index
int j = 0;
for (int i = 1; i < 1000; i++) {
Row row = sheet.getRow(i); // returns the logical row
if (row != null) {
Cell cell = row.getCell(7); // getting the cell representing the given column
if (cell != null) {
Date dueDate = cell.getDateCellValue();
DateFormat dateFormat = new SimpleDateFormat("MM/dd/yyyy");
Date currentDate=java.util.Calendar.getInstance().getTime();

if (dueDate != null && (dateFormat.format(dueDate)).equals(dateFormat.format(currentDate))) {
Cell customerName = row.getCell(6);
String custName = null;
if (customerName != null) {
custName = customerName.getStringCellValue();
}
Cell phoneNum = row.getCell(8);
String phone = null;
if (phoneNum != null) {
phone = phoneNum.getStringCellValue();
}
if (custName != null) {
al.add("Call: [ " + custName + " : " + phone + "] ");
}
}
}
}
}
return al; // returns the cell value
}

}

Step 3: Create a runnable jar file

Use Eclipse -> Export option to create Runnable jar file and name it as reminder_project.jar (You can provide any name)




Step 4: Create a batch file

Create CMD file with the content below

java -jar D:\reminder_project.jar

Step 4: Setup Task using Task Scheduler in Windows system


Use Task Scheduler in the Windows system. Provide the name of the task, Trigger details (daily, weekly), and Actions.




Provide CMD file name in the schedular





Tuesday, June 23, 2020

Important Regular Expression (RegEx) for daily Use

In this article, we will explain how to use Regular Expressions (Reg Ex) for daily use. We will be using  RegEx with multiple tools.

1. Regular Expressions in Notepad++

A. Case 1: Removing the last comma in the document
e.g.  Abc,,Pqr
XYZ,ABC,
DWD, XXX,

Regex: ,(?! )$   (This will detect the last comma in each statement)

B. Cae2: Remove duplicate values 
Regex: ^(.*?)$\s+?^(?=.*^\1$)
To remove duplicate lines just press Ctrl + F and provide RegEx mentioned above.

Monday, June 22, 2020

What is the future of Master Data Management?


At present, Master Data management (MDM) has become the core project of any organization. The various industries such as banking, healthcare, insurance, telecommunication, manufacturing, and logistics, etc realized that with the implementation of MDM, businesses can achieve better growth in the competitive market. In this article, we will explore the future of Master Data Management. So let's start.



A. MDM with Cloud Solution

The MDM vendors such as Informatica, Reltio, IBM provides cloud solutions. However, the companies who are using these solutions are criticizing about growing cost of cloud and control aspect of it. The initial cost of the cloud solution implementation is less compared to in house MDM implementation. As data is a growing asset and it leads to more usage over time. Cloud solution cost is directly proportional to usage and hence cost cloud MDM solution increases drastically over the years.  The infrastructure is owned and managed by the product vendor and we need to rely on the vendor for infrastructure issues. These issues are not limited to quarterly or monthly upgrades, server maintenance, emergency bug fixes, server crashes, major product releases, etc.

Even though with having these concerns, companies are still moving forward to use cloud MDM solutions and the reason is the cloud solution provides more sustainability. With recent pandemic, it is proved that businesses with cloud implementation survive better than in house solutions. There is no doubt, cloud solutions will be used by all the applications in the near future.

B. Artificial Intelligence and MDM

Artificial Intelligence (AI) is a buzz word in the current market. The MDM solution which has AI components will have better survivorship compared to one which does not. With recent releases, Informatica MDM has used AI features for small components in the data steward user interfaces. This tells us that the MDM solution components have started looking AI aspect more seriously. Many business intelligence applications are used to capture, store, access, and analyze data to assist business users in making better decisions. AI with business intelligence will create another world and MDM will be part of it.

There is a great scope for improvement in MDM solutions. AI can be used in extracting and transporting data from source to landing area and from landing area to MDM system. This will reduce the development, testing, performance tuning and deployment time. The cleansing and standardization heavily rely on manual configurations. If AI is leveraged then this manual effort can be reduced to a great extend. Another aspect where AI can be used is customer matching. Currently, many vendors use their proprietary match engine to identify and match customer records. Identifying and matching is an iterative process that takes a long time spanning from few months to few years, in some cases it is a never-ending process. If AI is used to identify and match the records then it will help business users as well as stakeholders to achieve their business goals.



C. Smart MDM and User Interface

The user interfaces (UI) used with the MDM solutions are developed with the technologies which are more stable. This is because of new features and smartness comes with newer versions and is hardly replicated in these interfaces. In many cases, we have noticed that the decade-old source code has never been touched in the MDM user interface. Most of the programming languages such as HTML5, JavaScript, Spring, Java, Python, R2, etc are evolving with great space. The future will not be far when these technologies will be self-improving the use of better infrastructure and intelligence. If these user interfaces needed to be survived in the global market then these need to use smartness in the applications. The end users are capable of handling these advanced features in doing daily routine work.  

The end goal of these smart features is to make end users experience not better but the best. The main challenge in the current environment is these user interfaces are not self-explanatory. We have to spend much of the time in training business users. UI can be improved to accept voice and touch commands and in some cases, UI should be smart enough to take its own decisions. This way it will improve productivity and ultimately the profitability.

D. Quicker and Simpler

With the development of data processing technologies, we are able to achieve better improvement in the data processing. However, we see that it take a day to a month to perform initial data load from the source system to MDM systems depending on the volume of the data. This is a situation while dealing with gigabytes or terabytes of data. What will happen if we need to handle exabyte, zettabyte, or yottabyte data in the future? We need to think through now itself about handling future growth of the data within the stipulated time. 30 days of time is going to cost heavily as the value of time is growing at a faster pace. The value of 1 hr from now will be higher in comparison with the value of 1 hr now.

Most of the underlying technologies such as databases, JVMs are not improving in faster processing than what expected. MDM is heaving dependent on these technologies. If underlying technologies improve over time then MDM solutions will be improved automatically else MDM vendors need to come with their own underlying technologies in order to sustain in the future.




E. Increase in Cost - Increase in Value

Due to advancements in technologies such as AI, Cloud computing, etc. the cost of the MDM solution will go high. As it will use extensive data and time for research and solutions. Having said that those increased costs can be explained by the increase in the value of the smart MDM solution.

With the smart MDM approach, we will be creating sustainable, profitable, and future proof solutions that will benefit end customers as well as businesses. The smart MDM is not far!






Tuesday, June 16, 2020

What are the differences between RAC and GRID?

Are you looking for the differences in RAC and GRID system in Oracle? Are you also would like to know how RAC and GRID systems related to each other? If yes, then you reached the right place. In this article, we will see what are the differences between RAC and Grid systems.


What is RAC system?

The database system comprises the configuration of multiple servers which are combined together with clustering software or program and accessing the shared disk storage structures is known as Oracle Real Application Clusters (RAC) system.




What is Grid System

The Grid system represents the pool of database hosts or servers, along with a pool of storage, and networks in an inter-related resource platform. Grid is used for effective workload management within the grid database.

What is the relationship between RAC and Grid systems?

The RAC is an integral part of Grid computing and RAC helps Grid computing for high availability information sharing.

What are differences between RAC and Grid?

Here is a list of the differences between RAC and Grid systems

Cluster
Grid
User management in Cluster is centralized
User management in the Grid is decentralized
In Cluster, the inter-operability is VIA and it is proprietary
No standard is developed for inter-operability
Ownership is singe in case of Cluster
The multiple ownership exits in Grid
Throughput is medium
Throughput is high
The guaranteed capacity
Capacity varies for grid implementation
Centralized resource management
Decentralized resource management
Can be used with commodity computer
Can be used with commodity and high end computers
The scheduling is centralized
The scheduling is decentralized
Single system image is possible
Single system image is not possible



Saturday, June 6, 2020

Top 10 new features in the Informatica MDM 10.4

Are you looking for an article that will provide detailed information about the new features in Informatica MDM 10.4? Are also would like to know what are the components changed for MDM 10.4? If so, then you reached the right place. In this article, we will discuss what are the new features introduced in the Informatica MDM hub, Provisioning Tool, Customer 360, or Entity 360.

Categories

The new features in the Informatica MDM 10.4 are broadly categorized are:
1. MDM Hub features
2. Provisioning Tool features
3. E360/Customer 360 features

Here are top 10 new features in the Informatica MDM 10.4 -
1. MDM hub login screen
2. Match Rule Sets in Provisioning Tool
3. ElasticSearch customization
4. Hyperlink configuration
5. New Hierarchy views
6. Chart Components
7. Multiple Task handling
8. Find and Replace
9. Bulk Data Import
10. Ad hoc Matching



A. MDM Hub features


1. MDM hub login screen
When user access MDM hub URL https://<server name><port>/cmx, the .jar file will be downloaded instead of JNLP file. Once the user double clicks on .jar file, it will open the login page. From MDM 10.4 onwards you can provide connect URL in login pages. So do not have to download .jar for each environment.



B. Provisioning Tool features


2. Match Rule Sets in Provisioning Tool
The new feature Match Rule Sets is introduced in the Provisioning Tool. Using this feature we can perform match tuning activity with help of business users.






3. ElasticSearch customization

We can customize ElasticSearch properties such as Tokenizers, Token Filters, Character filters, and Analyzer using the Provisioning Tool.



4. Hyperlink configuration

Prior to MDM 10.4, there was no provision to configure hyperlinks in Entity 360 or Customer 360 applications. With this latest upgrade, we can configure hyperlinks for Email, Web, etc fields.




C. E360/Customer 360 features


5. New Hierarchy views
With MDM 10.4, Hierarchy configuration has changed, and also the look and feel of hierarchy different than the earlier versions. 


6. Chart Components
More controls are provided in MDM 10.4 for the configuration of charts in Entity and Customer 360 applications.



7. Multiple Task handling
With newer version of Informatica MDM, you can assign, claim or edit multiple tasks in a single request


8. Find and Replace
The update operation in Entity 360 and Customer 360 application became easier. We can update multiple records in a single request using Find and Replace functionality.

9. Bulk Data Import
The bulk import functionality improved by adding artificial intelligence to it. The mapping of source and target fields automatically done by using artificial intelligence.






10. Ad hoc Matching
Using Ad hoc matching, we can match records dynamically and make a golden copy of it.






Learn more about these features in detail here -


Monday, June 1, 2020

Informatica MDM - Sample requests using Business Entity Services

In this article, we will understand various sample requests using Informatica Business Entity Services. The sample requests are prepared using PKEY_SRC_OBJECT and ROWID_OBJECT values. The server name, port, and other parameters need to be updated specifically to your project.


1: Get request using PKEY_SRC_OBJECT
https://localhost:8080/cmx/cs/orcl-CMX_ORS/Customer/SFA:PKEY_000001?systemName=SFA&depth=5&suppressLinks=true

2: Get request using 'query' parameter
https://localhost:8080/cmx/cs/orcl-CMX_ORS/Customer?systemName=SFA&depth=2&suppressLinks=true&action=query&filter=CustomerAdditionalInformation.xslpTaskId={{SFATaskNumber}}



3: Create a new customer
Endpoint: https://localhost:8080/cmx/cs/orcl-CMX_ORS/Customer?systemName=SFA&depth=2&suppressLinks=true

Request Body:

{
"key":{ "sourceKey": "PKEY_00000021" },
"fullNm": "Sample Customer 123",
"fstNm": "KC First Name",
"lstNm": "KC Last Name",
"partyType":"",

"CustomerAltIdSMPLCustId":
  { "item": [
   {
"key":{ "sourceKey": "PKEY_0000002~SMPLID" },
"SMPLCustId":"123"
   }
   ]
},

"CustomerAltIdSMPLCustUniqId":
  { "item": [
   {
"key":{ "sourceKey": "PKEY_0000002~SMPLUniqId" },
"SMPLCustUniqId":"123"
   }
   ]
},

"CustomerAltIdContractId":
  { "item": [
   {
"key":{ "sourceKey": "PKEY_0000002~CNTRID" },
"ContractId":"123"
   }
   ]
},

"PartyAddress":
{ "item": [
   {
"key":{ "sourceKey": "PKEY_0000002-SHIP" },
"xaddrtyp":"Shipping",
"xaddrln1": "123 ST",
"xaddrln2": "",
"xcity": "New York",
"xcntrycd": "US",
"xstprvnc": "NY",
"xpstlcd": "10101"
   }
  ]
  },
 
"CustomerAlternateNames":
{ "item": [
{ "key":{ "sourceKey": "PKEY_0000002~FORMAL" },
"altNm":"FORMAL_1234",
"xprtyAltNameType":"Does Business As (FORMAL)"
}
]
},

"CustomerPhone":
{ "item": [
{ "key":{ "sourceKey": "PKEY_0000002~PHONE" },
"phnNum":"123456890",
"phnTypeCd":"Telephone"
}
]
},


"CustomerPartyParentRel":
{ "item": [
{ "key":{ "sourceKey": "PKEY_000001~PKEY_0000002" },

"CustomerPartyParent" : {
"key":{ "sourceKey": "PKEY_000001" }
}
}
]
}
}




4. Update customer using rowid_object
Endpoint: https://localhost:8080/cmx/cs/orcl-CMX_ORS/Customer/rowId?systemName=SFA&suppressLinks=true&depth=2

Request Body:

{
    "rowidObject":{{SFDCMDMID}},
    "fullNm": "Integration Update Test 890",
    "fstNm": "Samle first Name 890",
    "lstNm": "Samle last Name 890",
    "AccntStsCode": {
        "accntstscd": "CUST"
    },
    "$original": {
        "fullNm": "fullNm",
        "fstNm": "fstNm",
        "lstNm": "lstNm",
        "AccntStsCode": {
            "accntstscd": "CUST"
        }
    },
    "CustomerAltIdTaxId": {
"$original":{"item":[null]},
        "item": [
            {
                "key": {
                    "sourceKey": "PKEY_0000003~TAXID"
                },
                "taxId": "tax01"
            }
        ]
    },
    "CustomerAltIdABC_CORPOfficeNumber": {
    "$original":{"item":[null]},
        "item": [
            {
                "key": {
                    "sourceKey": "PKEY_0000003~ABC_CORPRTLSNUM"
                },
                "ABC_CORPOfficeNum": "ABC_CORPOffice01",
                "xaltIdType": "ABC_CORP  Office Number"
            }
        ]
    },
   
    "CustomerAltIdGovLicNum": {
    "$original":{"item":[null]},
        "item": [
            {
                "key": {
                    "sourceKey": "PKEY_0000003~GOVLICID"
                },
                "GovLicNum": "tc001",
                "xaltIdType": "Gov License Number"
            }
        ]
    },

    "CustomerPartyParentRel": {
    "$original":{"item":[null]},
        "item": [
            {
                "key": {
                    "sourceKey": "PKEY_0000003~HeadQuarter"
                },
               "xprtyPrnt":8
            }
        ]
    }
}



5: Update customer using PKEY_SRC_OBJECT
Endpoint URL: https://localhost:8080/cmx/cs/orcl-CMX_ORS/Customer?systemName=SFA&suppressLinks=true&depth=2

Request Body:

{
    "key": {
        "sourceKey": "PKEY_0000003"
    },
    "fullNm": "Integration Update Test 6",
    "fstNm": "Samle first Name 6",
    "lstNm": "Samle last Name 6",
    "xhastbcclcnsflg": "1",
    "xnsleffctvdt": "2015-08-19T00:05:31.630+05:30",
    "xnslpblshddt": "2015-08-19T00:05:31.630+05:30",
    "AccntStsCode": {
        "accntstscd": "CUST"
    },
    "$original": {
        "fullNm": "fullNm",
        "fstNm": "fstNm",
        "lstNm": "lstNm",
        "AccntStsCode": {
            "accntstscd": "CUST"
        }
    },
    "CustomerAltIdTaxId": {
        "item": [
            {
                "key": {
                    "sourceKey": "PKEY_0000003~TAXID"
                },
                "taxId": "tax01"
            }
        ]
    },
    "CustomerAltIdABC_CORPOfficeNumber": {
        "item": [
            {
                "key": {
                    "sourceKey": "PKEY_0000003~ABC_CORPRTLSNUM"
                },
                "ABC_CORPRtlSoreNum": "ABC_CORPOffice01"
            }
        ]
    },
    "CustomerAltIdGovLicNum": {
        "item": [
            {
                "key": {
                    "sourceKey": "PKEY_0000003~GOVLICID"
                },
                "GovLicNum": "tc001"
            }
        ]
    },

    "CustomerPartyParentRel": {
        "item": [
            {
                "key": {
                    "sourceKey": "PKEY_0000003~HeadQuarter"
                },
                "CustomerPartyParent": {
                    "key": {
                        "sourceKey": "PKEY_0000005"
                    }
                }
            }
        ]
    }
}


Saturday, May 30, 2020

How to call Informatica MDM batch jobs using Informatia Data Quality (IDQ)


Are you looking for an article about calling Informatica MDM batch jobs? Are you also looking for how to call Informatica jobs using IDQ mapping or maplet? If so, then you reached the right place. In this article, we will see how to call Informatica MDM jobs such as stage, load, tokenization, match, merge, and batch groups using Informatica Data Quality (IDQ) mapping.



A. Introduction

Informatica MDM exposes various operations in the form of APIs and SOAP Web Service. We can call SOAP Web Service in Informatica Data Quality (IDQ) to execute MDM batch jobs. In this article, we will see step by step process how to create Web Service consumer and create mapping or maplet to call the SOAP Web Service.

B. Create Web Service Consumer

We need to create a web service consumer to call MDM SOAP Web Service. To create  Web Service Consumer, select Physical Data Object and right-click to add Web Service consumer. A new dialog window will open to select the component. Select it and click next.



Configure Web Service endpoint URL which can be provided by MDM team. You need username and password to access MDM SOAP Web Service.





C. Create MDM Connection

To create MDM connection, go to Windows -> Preferences and select Connections under Web Services component. Provide authentical details as shown in the screen below.



Make sure proper values for Timeout, HTTP Authentication Type, and WS-Security Type are selected. Then test the Web Service connection using 'Test Connection' button.



D. Mapping Overview

The mapping contains source component, input expression, Web Service Consumer transformation, output expression, and target component. 



1.  Source Component

Create a source component as flat file or database table.



2.  Input expression



Create an input expression and translate input values into Web Service-specific values such as orsId, batchGroupUid etc.



3.  Web Service Consumer Transformation 

Create a web service consumer transformation and pass the input variables.





Verify all the required ports properly automatically populated.



Update the input mapping with proper ports and if any ports are improperly mapped then correct it. Make sure key columns in the target are all mapped with some values from input



Verify the output mapping is correctly populated. Make necessary changes if required.





Make sure the Connection object is properly populated and other relevant properties under the Advanced section.



4.  Union Transformation 

Combine all the output parameters from web service and create a Union transformation. This is required to populate fault message in the response.


5.  Output Expression 

Create output expression to map all the attributes from Union transformation and translate it into the output format.



6.  Target Component 

Create the target component with a flat file or database table to persist the response of Informatica MDM job status and statistics.




What are top cloud data warehouses ?

            Are you looking for the top cloud data warehouses in the current market? Are you interested in knowing which cloud data warehous...